I completed my PhD in neuroscience at Champalimaud Research. There, my research work revolved around the inference of hidden states in tasks performed by both biological and artificial agents. Currently, I am working on novel methods for intelligible artificial intelligence.
An overview of my open source work can be found on my GitHub page.
Based on the Makie library, AlgebraOfGraphics offers visualizations for common analyses (frequency table, 1- or 2-D histogram and kernel density, linear and non-linear regression...), as well as functions to express how the data should be processed, grouped, styled, and visualized. These building blocks can be combined using the
+ operators, thus forming a rich algebra of visualizations. The unified syntax layer simplifies the creation of AlgebraOfGraphics-based UIs for data analysis.